Philippe Zhang

According to our database, Philippe Zhang authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos.

Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xian, Hongxing Lin, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li

CoRR, February, 2026

JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge.

Yeganeh Madadi, Hina Raja, Koenraad A. Vermeer, Hans G. Lemij, Xiaoqin Huang, Eunjin Kim, Seunghoon Lee, Gitaek Kwon, Hyunwoo Kim, Jaeyoung Kim, Adrian Galdran, Miguel Ángel González Ballester, Dan Presil, Kristhian Aguilar, Victor Cavalcante, Celso B. Carvalho, Waldir Sabino da Silva Júnior, Mateus Oliveira, Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos, Tomasz Kubrak, Ángela Casado-García, Jónathan Heras, Marcos Ortega, Lucía Ramos, Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho, Madukuri Shaurya, Anumeha Varma, Monika Agrawal, Siamak Yousefi

IEEE Trans. Medical Imaging, January, 2026

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.

Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Tom Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li

Medical Image Anal., 2026

2025

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge.

Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec

CoRR, June, 2025

Dépistage multipathologique de la rétine sur des volumes de Tomographie par Cohérence Optique. (Multi-diseases retinal screening using Optical Coherence Tomography volumes).

Philippe Zhang

PhD thesis, 2025

2024

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging.

Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho

CoRR, 2024

Generalizing deep learning models for medical image classification.

Sarah Matta, Mathieu Lamard, Philippe Zhang, Alexandre Le Guilcher, Laurent Borderie, Béatrice Cochener, Gwenolé Quellec

CoRR, 2024

A systematic review of generalization research in medical image classification.

Sarah Matta, Mathieu Lamard, Philippe Zhang, Alexandre Le Guilcher, Laurent Borderie, Béatrice Cochener, Gwenolé Quellec

Comput. Biol. Medicine, 2024

Automatic Prediction of Center-Involved Diabetic Macular Edema Using Ultra-Widefield Color Fundus Photography.

Philippe Zhang, Yihao Li, Weili Jiang, Jing Zhang, Sarah Matta, Yubo Tan, Hui Lin, Haoshen Wang, Jiangtian Pan, Hui Xu, Laurent Borderie, Alexandre Le Guilcher, Béatrice Cochener, Chubin Ou, Gwenolé Quellec, Mathieu Lamard

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

Patch Progression Masked Autoencoder with Fusion CNN Network for Classifying Evolution Between Two Pairs of 2D OCT Slices.

Philippe Zhang, Weili Jiang, Yihao Li, Jing Zhang, Sarah Matta, Yubo Tan, Hui Lin, Haoshen Wang, Jiangtian Pan, Hui Xu, Laurent Borderie, Alexandre Le Guilcher, Béatrice Cochener, Chubin Ou, Gwenolé Quellec, Mathieu Lamard

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging.

Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Béatrice Cochener, Gwenolé Quellec, Mostafa El Habib Daho

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models.

Yubo Tan, Shiye Wang, Wen-Da Shen, Wang-Wang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yong-Jie Li

Proceedings of the Intrapartum Ultrasound - MICCAI 2024 Grand Challenge, 2024

Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification.

Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction.

Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho

Proceedings of the Myopic Maculopathy Analysis, 2023